Thomas Hofmann: Lerneinheiten im Herbstsemester 2022 |
| Name | Herr Prof. Dr. Thomas Hofmann |
| Lehrgebiet | Datenanalytik |
| Adresse | Dep. Informatik ETH Zürich, CAB F 48.1 Universitätstrasse 6 8092 Zürich SWITZERLAND |
| thomas.hofmann@inf.ethz.ch | |
| URL | http://www.inf.ethz.ch/department/faculty-profs/person-detail.html?persid=148752 |
| Departement | Informatik |
| Beziehung | Ordentlicher Professor |
| Nummer | Titel | ECTS | Umfang | Dozierende | |
|---|---|---|---|---|---|
| 252-0945-15L | Doctoral Seminar Machine Learning (HS22) Only for Computer Science Ph.D. students. This doctoral seminar is intended for PhD students affiliated with the Institute for Machine Learning. Other PhD students who work on machine learning projects or related topics need approval by at least one of the organizers to register for the seminar. | 2 KP | 1S | N. He, T. Hofmann, A. Krause, G. Rätsch, M. Sachan | |
| 252-4811-00L | Machine Learning Seminar  Number of participants limited to 24. The deadline for deregistering expires at the end of the second week of the semester. Students who are still registered after that date, but do not attend the seminar, will officially fail the seminar. | 2 KP | 2S | V. Boeva, T. Hofmann, E. Krymova | |
| 263-3210-00L | Deep Learning  Number of participants limited to 320. | 8 KP | 3V + 2U + 2A | T. Hofmann, F. Perez Cruz, N. Perraudin | |